Business Analyst, AI Workflows
Location
United States
Posted
23 hours ago
Salary
0
Seniority
Senior
Job Description
Business Analyst, AI Workflows
ECI Software Solutions
• Map current-state workflows end-to-end across IT, Support, Finance, HR, and Engineering including the exceptions and edge cases that live in operators' heads, not in the documentation. • Conduct working sessions with process owners and frontline staff to capture tribal knowledge and convert it into rules, decision logic, and instructions that automation or agents can follow. • Gather requirements and write clear specifications that include success metrics, failure modes, and the exact human-in-the-loop checkpoints required for safe rollout. • Apply a triage methodology to every candidate workflow deterministic automation, agent-handled judgment, or humans-only and document the rationale so triage decisions are auditable. • Establish and maintain the baseline measurement behind ECI's AI workflow commitments so progress is reported on real numbers, not estimates. • Build the candidate-workflow portfolio against ECI's evaluation criteria: frequency, repeatability of decisions, context spread across systems, and measurable pain. • Implement automations directly in Salesforce Flow, low-code and no-code platforms (Power Automate, Zapier-class tools, internal Abacus capabilities), and emerging agentic AI tooling. • Write light scripting (Python, JavaScript, SQL) and integrate across SaaS systems via REST APIs and webhooks where no-code tooling does not reach. • Configure agent guardrails, evaluation prompts, and feedback loops; design for graceful failure when the agent is uncertain rather than for confident wrong answers. • Partner with Platform Engineering and Application teams to ship integrations safely on top of existing systems (Salesforce, Vonage, Workday, JSM) without forcing migrations. • Build the instrumentation that proves an automation is working logging, dashboards, and drift detection so shadow-mode and production performance can be compared on the same axes. • Maintain a clean, documented build inventory so any automation can be handed off, audited, or rolled back without tribal knowledge becoming the dependency we just removed somewhere else. • Run each workflow through a phased delivery model: sandbox build shadow mode (agent observes, humans decide) supervised production (agent acts, humans review) steady state. • Enforce human-in-the-loop discipline at every phase boundary; no automation moves to the next stage without measured evidence and an owner sign-off. • Own the regular progress reporting on AI workflow delivery, including which workflows shipped, the measured impact of each, and a credible forecast for the next quarter. • Coordinate with other technical resources when an AI workflow intersects an active Initiative M&A integration playbooks, platform consolidations, compliance projects.
Job Requirements
- 5+ years combined experience spanning business analysis, automation or low-code implementation, and project or program management.
- Expertise in at least two of these areas is a must.
- Demonstrated ability to map a cross-functional workflow end-to-end, including the exceptions and undocumented decision points, and produce a specification an engineer or an agent can act on.
- Hands-on experience building automations in at least two of: Salesforce Flow, Power Automate, n8n, Zapier-class platforms, Claude Code, or comparable low-code tooling.
- Direct experience shipping an automation or AI workflow to production with a measured before-and-after comparison not a pilot that lived only in UAT.
- Disciplined project cadence: writes and runs status updates, holds phase gates, measures outcomes against committed numbers, and communicates risks early.
- Strong communication skills with the ability to explain a workflow, a measurement, and a trade-off to both an engineering audience and an executive audience.
- Comfort working across SaaS systems and integrating them via APIs; able to read documentation and prototype an integration without waiting for engineering support.
Benefits
- Occasional domestic travel (up to ~10%) for working sessions with process owners and IT leadership
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